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Titlebook: Computational Architectures Integrating Neural and Symbolic Processes; A Perspective on the Ron Sun,Lawrence A. Bookman Book 1995 Springer

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https://doi.org/10.1007/978-3-642-84845-2 cell organisms to invertebrates, to vertebrates, and to humans, the truly intelligent beings. The biological organizations of various species, from the lowest to the highest, differ in their complexities and sizes. Such differences in internal complexity manifest in the differences in overt behavio
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Studies in Systems, Decision and Controlsition Encoding (RPE) and . (PSA). The present article shows that the primitives are powerful and convenient for effecting cognitively sophisticated connectionist symbol processing. Specifically, it shows how RPE and PSA are used in a connectionist implementation of Johnson-Laird’s mental model theo
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https://doi.org/10.1007/978-3-662-45623-1 systems have been quite successful, for example, in modeling in-depth natural language processing [., ., .], episodic memory [., ., and problem solving [., ., .]. In such systems, knowledge is encoded in terms of explicit symbolic structures, and processing is based on handcrafted rules that operat
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https://doi.org/10.1007/978-3-7091-2969-2ms of representation, and it consists of two levels: one is an inference network with nodes representing concepts and links representing rules connecting concepts, and the other is a microfeature-based replica of the first level. Based on the interaction between the concept nodes and microfeature no
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https://doi.org/10.1007/978-3-7091-2969-2e ability to read it “deeply” (a fine-grain view of comprehension). A computational analogue that mimics skimming should include a representation of a set of semantic relationships about the text that can be used to summarize it and extract what is important. A computational analogue that supports a
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